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An Anthropic engineer watched my screen from the next table at a cafe in SF. "Are you running Claude against live prediction markets right now" I told him yes. Then I showed him the stack. 214 trades. 74% win rate. +$9,437 in 19 days. Here's what actually happened: I gave Claude two repos and a simple job. First repo: A full market archive. Wallet behavior, entries, exits, and timing across the board. Second repo: Three commands. 500+ markets. No API key. Just a clean way to score the board fast. The system does not try to predict the world. It tries to find which wallets consistently exit better than the crowd, isolate the pattern, and only fire when the same structure shows up again. Main filter: captured value / expected value > 0.70 If a wallet wins often but leaks the move on exit, it gets ignored. If it captures most of the move and cuts losers fast, it becomes signal. Sizing uses Kelly: f* = (p*b - q) / b That is what stops the terminal from apeing into weak edges. Most of the time it does nothing. No edge - no position. Three trades from the run: > AMD Xilinx - entered 52c. Model said 59c. Closed +7c in 2h40m. > Artemis launch - entered 63c. Model said 85c. Closed +22c in 5h10m. > Derecho MW - entered 71c. Model said 87c. Closed +16c in 1h50m. When he saw the repo links and the live terminal, he stopped talking for a second. Then he said: "We tested something close to this internally." That was the whole joke. The data is public. The repos are public. The market is public. But most Polymarket traders still trade headlines, hold too long, and call it conviction. Polymarket does not reward the smartest story. It rewards the cleaner exit.

An Anthropic engineer watched my screen from the next table at a cafe in SF. "Are you running Claude against live prediction markets right now" I told him yes. Then I showed him the stack. 214 trades. 74% win rate. +$9,437 in 19 days. Here's what actually happened: I gave Claude two repos and a simple job. First repo: A full market archive. Wallet behavior, entries, exits, and timing across the board. Second repo: Three commands. 500+ markets. No API key. Just a clean way to score the board fast. The system does not try to predict the world. It tries to find which wallets consistently exit better than the crowd, isolate the pattern, and only fire when the same structure shows up again. Main filter: captured value / expected value > 0.70 If a wallet wins often but leaks the move on exit, it gets ignored. If it captures most of the move and cuts losers fast, it becomes signal. Sizing uses Kelly: f* = (p*b - q) / b That is what stops the terminal from apeing into weak edges. Most of the time it does nothing. No edge - no position. Three trades from the run: > AMD Xilinx - entered 52c. Model said 59c. Closed +7c in 2h40m. > Artemis launch - entered 63c. Model said 85c. Closed +22c in 5h10m. > Derecho MW - entered 71c. Model said 87c. Closed +16c in 1h50m. When he saw the repo links and the live terminal, he stopped talking for a second. Then he said: "We tested something close to this internally." That was the whole joke. The data is public. The repos are public. The market is public. But most Polymarket traders still trade headlines, hold too long, and call it conviction. Polymarket does not reward the smartest story. It rewards the cleaner exit.

171,039 次观看

An ex-Anthropic engineer stopped next to me at a meetup in LV. I had my Polymarket terminal open. He watched the ladder for maybe fifteen seconds and said one sentence. "You're trying to predict the market. You should be measuring when it falls asleep" I asked what that was supposed to mean. He pulled my laptop closer. Opened one repository. 86 million trades. Every wallet. Every fill. Every close. The full Polymarket record since day one. "Stop reading posts. Read behavior. Ask one question - who makes money when liquidity disappears" I asked why he cared about that more than entries. He said the best wallets are not better at guessing. They are better at waiting. Then he had Claude work through the dataset. Find wallets with 70%+ win rate. More than 100 trades. Then isolate what they do between 02:30 and 04:00 UTC. That was the first useful query I had run in months. The pattern was obvious. Normal hours: tight book. noisy edge. Wolf Hour: wide book. lazy pricing. Typical spread: 2-3 cents. Dead hours: 8-10 cents. Same market. Different level of defense. I asked why Claude Code instead of just using chat. He laughed. "Because chat gives opinions. Claude Code goes into the repo, reads the structure, and actually works through the data" Then he opened the scanner. Three commands. 500+ markets live. Read-only. No API key. Claude built the overnight filter in about twenty minutes. Fair value gap > 8 cents. Spread blown out beyond normal. Resolution in 4-48 hours. No new trades unless the contract was pre-approved during liquid hours. Most markets died immediately. The few that survived were the only ones worth touching. One example. Fair value during the day: $0.51. Wolf Hour target: $0.41. At 3:12 UTC the ask printed there. Order in. London woke up. Same contract traded back around $0.50. Not prediction alpha. Structural mispricing. Then he said the line that made the whole thing click. "Good traders use AI to think faster. Great ones use it to stop themselves from trading until the market gets stupid" I rebuilt the stack that week. Daytime research. Night scanner. Morning exits. Four real entries a week was enough. About 9 cents blended edge. Roughly $9,360 a year on around $2,000 average deployed capital. No team. No fancy infra. No sitting there at 3 AM pretending discretion is a system. the edge was never hidden in better prompts. it was sitting in the one part of the night when the market stopped protecting its own prices.

An ex-Anthropic engineer stopped next to me at a meetup in LV. I had my Polymarket terminal open. He watched the ladder for maybe fifteen seconds and said one sentence. "You're trying to predict the market. You should be measuring when it falls asleep" I asked what that was supposed to mean. He pulled my laptop closer. Opened one repository. 86 million trades. Every wallet. Every fill. Every close. The full Polymarket record since day one. "Stop reading posts. Read behavior. Ask one question - who makes money when liquidity disappears" I asked why he cared about that more than entries. He said the best wallets are not better at guessing. They are better at waiting. Then he had Claude work through the dataset. Find wallets with 70%+ win rate. More than 100 trades. Then isolate what they do between 02:30 and 04:00 UTC. That was the first useful query I had run in months. The pattern was obvious. Normal hours: tight book. noisy edge. Wolf Hour: wide book. lazy pricing. Typical spread: 2-3 cents. Dead hours: 8-10 cents. Same market. Different level of defense. I asked why Claude Code instead of just using chat. He laughed. "Because chat gives opinions. Claude Code goes into the repo, reads the structure, and actually works through the data" Then he opened the scanner. Three commands. 500+ markets live. Read-only. No API key. Claude built the overnight filter in about twenty minutes. Fair value gap > 8 cents. Spread blown out beyond normal. Resolution in 4-48 hours. No new trades unless the contract was pre-approved during liquid hours. Most markets died immediately. The few that survived were the only ones worth touching. One example. Fair value during the day: $0.51. Wolf Hour target: $0.41. At 3:12 UTC the ask printed there. Order in. London woke up. Same contract traded back around $0.50. Not prediction alpha. Structural mispricing. Then he said the line that made the whole thing click. "Good traders use AI to think faster. Great ones use it to stop themselves from trading until the market gets stupid" I rebuilt the stack that week. Daytime research. Night scanner. Morning exits. Four real entries a week was enough. About 9 cents blended edge. Roughly $9,360 a year on around $2,000 average deployed capital. No team. No fancy infra. No sitting there at 3 AM pretending discretion is a system. the edge was never hidden in better prompts. it was sitting in the one part of the night when the market stopped protecting its own prices.

38,360 次观看

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Seth Klarman, founder of Baupost Group, built it from $27 million into $22 billion - and his secret weapon is doing nothing for years at a time his book "Margin of Safety" is out of print and sells used for over $1,000 he almost never talks in public he just did - in one of the rarest interviews of his career 75-min on how the Oracle of Boston actually thinks about risk bookmark & watch today

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